Prince Afriyie is an Associate Professor of Data Science at the University of Virginia (UVA) where he also serves as Program Director of the M.S. in Data Science (MSDS) residential program. Afriyie’s educational background is in mathematics and statistics. He currently serves on the Statistics Review Committee for the Centers for Disease Control and Prevention journal, Preventing Chronic Diseases, where he helps to advance understanding and dissemination of statistical methods and testing in the public health field.
Prior to joining the School of Data Science, he was an Assistant Professor of Statistics at UVA where he taught courses in introduction to data science with R, statistical analysis with Python, and mathematical statistics.
Afriyie’s research includes multiple comparisons, survival analysis as well as statistics and data science education. His research in multiple comparisons is focused on developing new and powerful methodologies when testing multiple hypotheses simultaneously, including its application on high-throughput genomic data in detecting differentially expressed genes between two groups—cancer and no cancer. Currently, in collaboration with the Cardiology Department at UVA Health, Afriyie helps with statistical risk analysis pertaining to heart failure. His research has yielded publications in statistics, agriculture, business, and medical journals.
Afriyie holds a Ph.D. and M.S. in Statistics from Temple University, an M.A in Mathematics from Ball State University, and a B.S. in Mathematics from Northern Kentucky University.
Ph.D. in Statistics, Temple University
M.S. in Statistics, Temple University
M.A. in Mathematics, Ball State University
B.S. in Mathematics, Northern Kentucky University
Data Science Domains
Areas of Practice
Data Science Education, Multiple Comparisons, Survival Analysis
Statistics, Statistical Inference, Empirical Bayes, Data Cleaning & Curation, Bayesian Methods, Data Communication/Integration, General Linear Models, Regression, Time Series Analysis
D. Kiranmoy, P. Afriyie, L. Spirko (2015). A Semiparametric Bayesian Approach for Analyzing Longitudinal Data from Multiple Related Groups. The International Journal of Biostatistics, 10.1515/ijb-2015-0002.
I. Carbonell, J. de la Fuente, P. Afriyie (2019). Using Mobile Eye Tracking and Coefficient K for Analysing Usability Trials. Proceedings of 29th IAPRI Symposium on Packaging. Volume: 1, pp. 345-357
C. Lazcano, H. Deniston-Sheets, C. Stubler, A. Hodson, K. Watts, P. Afriyie, L. Cassassa, J. Peterson (2021). Soil management induced shifts in nematode food webs within a Mediterranean vineyard in the Central Coast of California (USA). Applied Soil Ecology, Vol. 157, 103756, ISSN 0929-1393.
A. Rossman and P. Afriyie (2020). Interview With Prince Afriyie: From Ghana to America. Journal of Statistics Education, Vol. 28, Pgs. 122-132.
J. Munoz, D. Ellis, C. Villasenor, M. Anderson, M. Walker, P. Afriyie, J. Dodson Peterson (2022). The Effect of Spur Position and Pruning Severity on Shoot Development. Agronomy, 12(7), 1634
M. Miller, J. Cutts, M. Donatelle, K. Shah, F. Abeya, N. Ashur, E. Rojas, N. Mehta, Y. Kwon, A. Barber, P. Afriyie, N. Sodhi, S. Lim, K. Bilchick, S. Mazimba (2023). Right atrial structural remodeling predict worse outcomes in transcatheter mitral valve repair.Catherization and Cardiovascular Interventions, Jan;101(1), pgs. 217-224.
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